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Application and Optimisation of the Spatial Phase Shifting ...

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74 Electronic or Digital Speckle Pattern Interferometry<br />

It is also possible to average two 4-step formulae [Schwi83, Har87], which yields a 4+1 formula, or to<br />

extend <strong>the</strong> averaging approach to even more samples [Schmi95a, Zha99]. Particularly <strong>the</strong> 4+1 formula is<br />

very frequently used in ESPI; but we ignore it here because it requires 5 samples already; we will briefly<br />

discuss 5-sample formulae in Appendix D.<br />

While formulae with α=90° are most effective against detuning due to <strong>the</strong> error frequency having twice<br />

<strong>the</strong> signal frequency, it is also possible to design compensating formulae with α=120°. A recipe to do so<br />

has been given in [Lar92b]; it is based on arranging <strong>the</strong> a n <strong>and</strong> b n (anti)symmetrically over <strong>the</strong> sampling<br />

sequence (which results in frequency-independent quadrature) <strong>and</strong> matching <strong>the</strong> gradients <strong>of</strong> S ~ ( ν ) <strong>and</strong><br />

~ C( ν)<br />

at ν0 . (At this point, we note that also (3.56) fulfils <strong>the</strong>se criteria; in fact, all <strong>the</strong> formulae with stable<br />

quadrature presented thus far have (anti)symmetrically arranged coefficients. This so-called Hermitian<br />

symmetry <strong>of</strong> <strong>the</strong> coefficients is a necessary <strong>and</strong> sufficient condition for <strong>the</strong> frequency independence <strong>of</strong> <strong>the</strong><br />

quadrature, <strong>and</strong> it has been shown in [Sur98a, Hib98] how to symmetrise phase-shifting formulae.)<br />

The error-compensating symmetrical 3+1-sample formula for α=120° reads [Lar99]<br />

ϕ<br />

O<br />

mod 2π<br />

= arctan<br />

I0 + 3( I1 − I2)<br />

− I3<br />

3( − I + I + I − I ) ; (3.58)<br />

0 1 2 3<br />

its spectral characteristics, shown in Fig. 3.17, demonstrate that (3.58) also has reduced sensitivity to<br />

linear phase-shift miscalibration.<br />

6<br />

3.14<br />

4<br />

2<br />

1.57<br />

0<br />

0 1 2 3<br />

-2<br />

-4<br />

-6<br />

amp( S<br />

~ ( νx))<br />

amp( C<br />

~ ( ν x ))<br />

ν x /ν 0x<br />

0<br />

-1.57<br />

-3.14<br />

0 1 2 3<br />

arg( S<br />

~ ( νx))<br />

arg( C<br />

~ ( ν x ))<br />

Fig. 3.17: Filter spectrum for 3+1-step-120° phase-sampling formula (3.58); left: amplitudes, right: phases.<br />

Since we have been dealing with different <strong>of</strong>fsets <strong>of</strong> <strong>the</strong> reconstructed phase in (3.56) <strong>and</strong> (3.57), we will<br />

again make use <strong>of</strong> bsc(ν x ) to find out more general properties <strong>of</strong> <strong>the</strong> methods. Fig. 3.18 presents <strong>the</strong><br />

corresponding plots for (3.56)-(3.58).<br />

1.57<br />

1.57<br />

ν x /ν 0x<br />

0.785<br />

0.785<br />

ν x /ν 0x<br />

-1.57<br />

0<br />

-0.785<br />

0 1 2 3 0 4<br />

-0.785<br />

ν x /ν 0x<br />

0<br />

0 1 2 3<br />

-1.57<br />

Fig. 3.18: Left: bsc(ν) for phase-sampling formulae (3.56) <strong>and</strong> (3.57); right: bsc(ν) for formula (3.58).

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